Competitor profile

Privado AI vs Acompli: product and service comparison

Privado AI is profiled first using its public positioning: Privacy code scanning, AI privacy agents, website/app privacy auditing, automated data maps and risk discovery. The page then maps product and service coverage against Acompli so buyers can see overlap, gaps and specialist strengths.

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Privado AI alternativePrivacy code scanningData mapsRisk discovery

Comparison briefComparison evidence lens

Compared companyPrivado AI

Compared againstAcompli

privado.ai

acompli.ie

Fit checkBuyer, workflow, scope

Evidence testSource, claim, caveat

Coverage8 sections, 3 tables

Outputs1 linked options

Fit

Who each option is best for, and where either supplier is deliberately narrower.

Evidence

Which public claims, review signals, caveats and capability rows are evidenced.

Operations

How much work it takes to implement, maintain and export the privacy record.

Decision

The questions a privacy team should ask before switching or shortlisting.

On this page

Key takeaways

Privado AI public market lane: Privacy code scanning, AI privacy agents, website/app privacy auditing, automated data maps and risk discovery.
Privado AI best-fit buyer: Engineering and privacy teams that need code-level and system-level personal-data visibility across apps, websites, backend systems, third-party apps, contracts and documents.
Privado AI published strengths include privacy code scanning and dynamic data maps from source code, SaaS apps and documentation.
The capability rows use public-documentation signals: "Y" means publicly documented, and "N" means not publicly confirmed.

01Privado AI profile

What Privado AI provides

Privado AI uses privacy code scanning, dynamic data maps, AI privacy agents, PIAs, DPIAs, RoPAs, web risk auditing and app risk auditing language. Its pricing page also references cookie agents and automated maps from source code, SaaS apps and documentation.

Privado lists Web Auditor from USD 600/website/month (billed annually, 4-website minimum), App Auditor from USD 800/app/month (billed annually; iOS and Android each count as separate apps), and Wren AI agent from USD 4,200/month for up to 500 assessments (billed annually). Full Privacy Management Platform is custom-quoted.

Signal	Details
Market lane	Privacy code scanning, AI privacy agents, website/app privacy auditing, automated data maps and risk discovery.
Best-fit buyer	Engineering and privacy teams that need code-level and system-level personal-data visibility across apps, websites, backend systems, third-party apps, contracts and documents.
Ratings / pricing signal	G2 material describes Privado AI as automating risk discovery, assessments and data maps. Privado publishes a pricing page, but commercial terms should be checked directly.
Deployment / operating model	SaaS privacy-engineering platform plus public open-source scanner references; exact deployment and integration model should be verified by tier.

02Official website signals

What Privado AI emphasises on its own website

Privado AI positions itself as privacy engineering and privacy code scanning for software teams.

Privado AI official website

Open the official Privado AI source used for this profile refresh.

Explore

Official pages emphasise source-code scanning, web and app risk auditing, automated data maps and privacy agents.
The strongest lane is developer-led privacy discovery, with code and application evidence feeding privacy workflows.
Privado AI should be compared as a technical privacy-engineering platform, not just as a DSAR or RoPA tool.

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03Published strengths

Privado AI products, services and stated strengths

A fair comparison should acknowledge that Privado AI's centre of gravity is technical privacy discovery, not document workflow.

Privacy code scanning and dynamic data maps from source code, SaaS apps and documentation.
Web risk auditing, app risk auditing and cookie-agent language where Acompli should not overclaim.
AI privacy agents and broad technical discovery surfaces for engineering-led privacy work.
Public pricing-page and open-source references that may suit teams starting with developer adoption.

04Comparison context

Privado AI alternatives

Privado AI is publicly positioned in this market lane: Privacy code scanning, AI privacy agents, website/app privacy auditing, automated data maps and risk discovery.

This page profiles Privado AI's stated product and service coverage, best-fit buyer, rating and pricing signals, and published strengths before comparing where Acompli overlaps.

"Y" means publicly documented, while "N" means not publicly confirmed rather than proof that a supplier cannot provide it.

05At a glance

Privado AI vs Acompli at a glance

This page profiles Privado AI first, then compares public product and service coverage so buyers can decide what fits their own requirement.

Decision question	Privado AI	Acompli
Best fit	Engineering and privacy teams that prioritize personal-data visibility across web, app, backend, SaaS, documents and technical systems.	Privacy and engineering teams that want reviewed code findings connected to RoPA drafts, DPIA triggers, data maps, risk actions and wider governance.
Operating model	Privacy engineering platform with code scanning, AI privacy agents, dynamic data maps, web/app risk auditing and automated technical discovery.	Governed code-to-compliance workflow inside broader privacy operations across assessments, Article 30, risk, vendors and evidence packs.
When to choose it	Choose Privado AI when the main requirement is software-level personal-data visibility and privacy-code discovery.	Choose Acompli when technical findings need to be reviewed, approved and routed into privacy governance records.

06Capability comparison

Privado AI product and service coverage compared with Acompli

Y means a meaningful product, module, feature or service was publicly documented at the time of writing.

* "N" means this capability was not publicly confirmed at the time of writing - not proof the vendor lacks it. "Y" means it was publicly documented. Confirm current features directly with each vendor.
Capability	Privado AI	Acompli
DPIA/PIA assessments	Y	Y
RoPA / Article 30	Y	Y
DSAR / privacy rights	N	N
Data mapping	Y	Y
Vendor risk	Y	Y
Privacy risk	Y	Y
AI governance	Y	Y
Consent management	N	N
Cookie/tracker scanning	Y	N
Breach/incident management	N	N
Retention management	N	Y
Policy/notice management	N	N
Training module	N	N
Approval workflows	Y	Y
Audit trail	Y	Y
Role-based access control	Y	Y
Multi-entity support	Y	Y
Spreadsheet import	Y	Y
PDF/CSV/Excel export	Y	Y
Public pricing	Y	N

07Ireland & UK

Privado AI vs Acompli for RoPA in Ireland and the UK

Technical discovery is useful only if the privacy team can turn it into accountable records. GDPR Article 30 requires processing records that can explain purposes, data categories, recipients, transfers and safeguards.

For both Privado AI and Acompli, buyers should ask to see entity-scoped exports, reviewer history, source evidence and how EU GDPR and UK GDPR records are separated in practice.

EU GDPR Article 30(1) and Article 30(2) controller and processor records.
UK GDPR Article 30 documentation and ICO guidance fit.
Irish DPC accountability expectations and exportable evidence for each legal entity.

08Shortlisting notes

When Privado AI belongs on the shortlist

Privado AI should remain on the shortlist when its published market lane, product strengths and buyer fit match the requirement.

Acompli should be evaluated only where its own workflow coverage matches the requirement; this page is intended to show overlap and gaps, not to force a universal replacement narrative.

Shortlist Privado AI when the main requirement is software-level personal-data visibility and privacy-code discovery.
Shortlist Acompli when technical findings need to be reviewed, approved and routed into privacy governance records.
Ask each supplier to demonstrate the same workflow using current product screens, exports, review history and implementation assumptions.

Comparison FAQ

Privado AI questions answered

What is Privado AI?

Privado AI is profiled here in this market lane: Privacy code scanning, AI privacy agents, website/app privacy auditing, automated data maps and risk discovery. Privado AI uses privacy code scanning, dynamic data maps, AI privacy agents, PIAs, DPIAs, RoPAs, web risk auditing and app risk auditing language. Its pricing page also references cookie agents and automated maps from source code, SaaS apps and documentation.

What does Privado AI provide?

Privado AI provides the products, services or modules publicly evidenced in the capability table on this page. The table covers RoPA, DPIA/PIA assessments, DSAR/privacy rights, data mapping, vendor risk, privacy risk, AI governance, consent, cookie scanning, breach, retention, policy, training, workflow, audit and export signals.

Who is Privado AI best suited for?

Privado AI is best suited for engineering and privacy teams that need code-level and system-level personal-data visibility across apps, websites, backend systems, third-party apps, contracts and documents. Buyers should still verify current product scope, service scope, contract terms and implementation requirements directly with Privado AI.

What are Privado AI's main product or service strengths?

Privado AI's published strengths include Privacy code scanning and dynamic data maps from source code, SaaS apps and documentation; Web risk auditing, app risk auditing and cookie-agent language where Acompli should not overclaim; AI privacy agents and broad technical discovery surfaces for engineering-led privacy work.

What pricing or buyer-review signal is available for Privado AI?

Does Privado AI support GDPR Article 30 RoPA?

Yes. Privado AI publicly documents RoPA / Article 30. Acompli is marked as publicly evidenced for the same row. Buyers should verify live module scope, service scope and export evidence directly with each supplier before procurement.

Does Privado AI support DPIA or privacy assessments?

Yes. Privado AI publicly documents DPIA/PIA assessments. Acompli is marked as publicly evidenced for the same row. Buyers should verify live module scope, service scope and export evidence directly with each supplier before procurement.

Does Privado AI support DSAR or privacy rights workflows?

Not publicly confirmed. Privado AI is marked N for DSAR / privacy rights here, meaning public documentation does not clearly confirm it, not proof the supplier cannot provide it. Acompli is marked as not publicly confirmed for the same row. Buyers should verify live module scope, service scope and export evidence directly with each supplier before procurement.

Does Privado AI provide data mapping?

Yes. Privado AI publicly documents Data mapping. Acompli is marked as publicly evidenced for the same row. Buyers should verify live module scope, service scope and export evidence directly with each supplier before procurement.

Does Privado AI provide vendor risk or third-party privacy risk management?

Yes. Privado AI publicly documents Vendor risk. Acompli is marked as publicly evidenced for the same row. Buyers should verify live module scope, service scope and export evidence directly with each supplier before procurement.

Does Privado AI provide consent management or cookie scanning?

Not publicly confirmed. Privado AI is marked N for Consent management here, meaning public documentation does not clearly confirm it, not proof the supplier cannot provide it. Yes. Privado AI publicly documents Cookie/tracker scanning. Acompli is marked as not publicly confirmed for consent management and not publicly confirmed for cookie/tracker scanning, so buyers needing either capability should verify live vendor scope before procurement.

Does Privado AI provide AI governance?

Yes. Privado AI publicly documents AI governance. Acompli is marked as publicly evidenced for the same row. Buyers should verify live module scope, service scope and export evidence directly with each supplier before procurement.

How should buyers read the Privado AI vs Acompli capability table?

The table records public-documentation signals for each supplier. "Y" means a meaningful product, module, feature or service was publicly documented; "N" means it was not publicly confirmed, not proof that the supplier cannot provide it.

What are Privado AI alternatives?

Privado AI alternatives depend on the buyer's exact requirement, because Privado AI's strongest fit is: Choose Privado AI when the main requirement is software-level personal-data visibility and privacy-code discovery. The shortlist may include broad privacy platforms, GRC tools, specialist consent or DSAR tools, service providers, and Acompli where the buyer needs overlapping privacy-governance workflows shown in the table.

How does Privado AI compare with Acompli?

Privado AI should be assessed first on its own published fit: Choose Privado AI when the main requirement is software-level personal-data visibility and privacy-code discovery. Acompli is included as a factual overlap point where the requirement is: Choose Acompli when technical findings need to be reviewed, approved and routed into privacy governance records. Buyers should ask both suppliers to demonstrate the same workflow with current product screens, exports and implementation assumptions.

When should buyers shortlist Privado AI?

Buyers should shortlist Privado AI when the main requirement is software-level personal-data visibility and privacy-code discovery. They should only compare Acompli for the overlapping requirements shown on this page, and they should keep any specialist supplier that covers a requirement neither platform clearly evidences.

How current is this Privado AI profile?

Ratings, pricing, product names, plan limits and service scope can change over time. Treat this as a comparison guide and verify current details with Privado AI before procurement.

Acompli answers

Acompli as a Privado AI alternative

Who are Privado AI's competitors?

Privado AI competitors include privacy code scanning, data discovery and privacy engineering tools such as HoundDog.ai and broader privacy platforms with discovery features. Acompli competes where code findings must become governed privacy records.

Is Acompli a good Privado AI alternative?

Acompli is a good Privado AI alternative when the priority is governance after discovery: reviewed data-map updates, RoPA drafts, DPIA triggers, privacy risks and evidence packs. Privado AI remains stronger when the main requirement is technical discovery breadth.

Does Acompli replace Privado AI?

Acompli can replace Privado AI for teams that need a governed code-to-compliance workflow rather than a specialist discovery platform. It does not replace every technical discovery surface Privado AI offers.

Does Privado AI support RoPA and DPIA?

Yes. Privado AI public language includes PIAs, DPIAs, RoPAs and dynamic data maps. The comparison question is whether the buyer wants a discovery-led platform or a broader governance workflow with human-approved records.

What is the best Privado AI alternative for privacy governance?

The best Privado AI alternative for privacy governance is Acompli when the priority is Article 30 records, assessments, privacy risk, vendor context, AI governance, approval workflows and evidence exports. Privado AI is strongest when technical data discovery is the priority.

How should teams compare Privado AI and Acompli?

Start with one real repository or application. Check what personal data is found, how false positives are reviewed, whether approved findings feed the data map and RoPA, and whether the final record can be exported for audit.

What integrations does Privado AI's Wren agent support?

Privado AI's Wren agent integrates with Jira, Confluence, Linear, CLM (contract lifecycle management) and procurement tools to proactively capture privacy risks. It also integrates with Drata, Vanta, OneTrust, and TrustArc. Acompli does not currently offer proactive Jira/Confluence intake. Acompli's strength is the downstream step: once a finding or risk is identified, it can be reviewed, approved, and routed into Article 30, assessments, risk registers, and evidence packs.

What does Privado AI's open-source scanner offer and how does it compare to the paid platform?

Privado AI publishes a free open-source static scanner (LGPL 3.0) on GitHub that detects 110+ personal data elements in Java and Python code and runs locally. The paid platform adds web and app auditing, SaaS scanning, the Wren AI agent, dynamic data maps, and governance workflow. Neither the open-source tool nor the paid platform includes a governed approval workflow that routes findings into Article 30 records, DPIA triggers, or risk registers with a human decision on record - which is Acompli's position.

How does Privado AI handle false positives from code scanning?

Privado AI's own benchmarks claim 90% accuracy for detecting processing activities. G2 reviewers note that false positives still require engineering team effort to triage. Acompli's Code Scan module takes a different approach: findings are presented to a human reviewer who decides what enters the data map or Article 30 record - the approval step is the governance gate, not the accuracy of the scan alone.

Acompli overlap

Related Acompli workflows

Code Scan

Review code-derived privacy evidence before it updates data maps, RoPA drafts or DPIA triggers.

Open module

Data mapping

Build a living view of systems, suppliers, locations, data categories and transfers.

Open module

Assessments

Run DPIAs, LIAs, TIAs, processor reviews and AI Act assessments with templates, AI support and human approval.

Open module

Risk management

Extract candidate risks from approved evidence, assign treatment plans and report on current exposure.

Open module

Compare Privado AI and Acompli against a real workflow.

Bring one RoPA, DPIA, vendor, risk or AI-governance requirement and map which parts are covered by Privado AI, which parts Acompli covers, and where another specialist may still be needed.

Book a walkthrough See a sample Evidence Pack

Acompli architecture

One governed foundation. Five connected modules.

Imported systems, suppliers, policies, DPIAs and RoPA spreadsheets become the shared evidence model for assessments, risk, records, third-party oversight and data mapping.

Point tools create records. Acompli connects them.